Data is often the basis for how we see the world, and how the world sees us. Understanding these data-based projections is the focus of this podcast, which discusses topics related to data analytics, machine learning, and data science. Produced and hosted by Jim Harris.
Data-Based Projections
Claim This Podcastby Jim Harris
10 episodes
Updated Daily
Accepts GuestsHas Sponsors
Podcast Overview
Data is often the basis for how we see the world, and how the world sees us. Understanding these data-based projections is the focus of this podcast, which discusses topics related to data analytics, machine learning, and data science. Produced and hosted by Jim Harris.
Language
🇺🇲
Publishing Since
3/25/2022
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Recent Episodes
July 21, 2022
That is Not Machine Learning
Machine learning (ML) can provide unique analytical insights, as well as help automate some operational and decision-making processes more efficiently and effectively than non-ML alternatives. However, ML is also among the buzziest of buzzwords, and many are overselling and oversimplifying its usage. Do not let anyone frame a data analysis, business problem, or process improvement as an ML use case. Instead, say: That is Not Machine Learning — that is a data analysis, business problem, or process improvement where ML might be able to help. But not before we evaluate other options. And with the understanding that ML is rarely going to be either the first or only aspect of the solution. This episode is sponsored by: Vertica.com Extended Show Notes: ocdqblog.com/dbp Follow Jim Harris on Twitter: @ocdqblog Email Jim Harris: ocdqblog.com/contact Other ways to listen: bit.ly/listen-dbp
June 8, 2022
Machine Learning is Label Making
Label Making. That is my simple two-word definition of Machine Learning. Machine Learning is Label Making. ML is LM. Especially supervised machine learning, which creates either numerical labels (using regression algorithms) to make predictions about a continuous data value (such as sale or stock prices), or categorical labels (using classification algorithms) to assign data to pre-defined groups also called classes (such as Fraud or Not Fraud for financial transactions). This episode is sponsored by: Vertica.com Extended Show Notes: ocdqblog.com/dbp Follow Jim Harris on Twitter: @ocdqblog Email Jim Harris: ocdqblog.com/contact Other ways to listen: bit.ly/listen-dbp
May 8, 2022
Cloudy with a Chance of Data Analytics
Based on one of my presentations, this episode provides a five-part vendor-neutral framework for evaluating the critical capabilities of a cloud data analytics solution: Deploy, Store, Optimize, Analyze, Govern. This episode is sponsored by: Vertica.com Extended Show Notes: ocdqblog.com/dbp Follow Jim Harris on Twitter: @ocdqblog Email Jim Harris: ocdqblog.com/contact Other ways to listen: bit.ly/listen-dbp
10 total episodes available
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Frequently asked questions
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- What is Data-Based Projections?
- How often does this podcast release new episodes?
This podcast updates daily.
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This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
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